> Markdown version of [/jobs/ext/1597611-ml-engineer-ai-apps-llms-production-systems](https://www.wearedevelopers.com/jobs/ext/1597611-ml-engineer-ai-apps-llms-production-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ml Engineer: Ai Apps, Llms & Production Systems - **Company:** Aristocrat Leisure - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Machine Learning, Large Language Models, Machine Learning Operations, Streamlit Framework, Data Pipelines - **Published:** July 22, 2026 - **Apply:** https://www.buscojobs.com.es/ml-engineer-ai-apps-llms-production-systems-en-barcelona-ID-364934597 ## About the Role A degree in a technical field and 5+ years of ML experience are expected. #J-*****-Ljbffr ## Description Aristocrat, a world leader in gaming content and technology, is seeking an ambitious ML/AI Engineer to join our team in Spain.You will deploy models, refine data pipelines, and contribute to AI initiatives to enhance player experiences.You will collaborate with product and data teams, build user-friendly ML interfaces (Streamlit), monitor models, and explore LLMs, RAG, and agentic AI to drive innovation.A degree in a technical field and 5+ years of ML experience are expected.#J-*****-Ljbffr ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Building Blocks of RAG: From Understanding to Implementation](https://www.wearedevelopers.com/videos/1249-building-blocks-of-rag-from-understanding-to-implementation) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [LLMs in the wild: Building an AI agent that survives production](https://www.wearedevelopers.com/videos/100319-llms-in-the-wild-building-an-ai-agent-that-survives-production) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)